Sardar Vallabhbhai

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sardar Vallabhbhai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Thorsten Joachims
  2. David D. Lewis
  3. Fabrizio Sebastiani
  4. Yiming Yang
  5. Leah S. Larkey
  6. Manish Mehta
  7. Baharum bin Baharudin
  8. Eiji Aramaki
  9. Gongde Guo
  10. Xin Liu

Papers from Sardar Vallabhbhai's perspective

Ordered by how strongly the researchers Sardar Vallabhbhai trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  2. A re-examination of text categorization methods
  3. Machine learning in automated text categorization
  4. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
  5. Inductive learning algorithms and representations for text categorization
  6. Some Effective Techniques for Naive Bayes Text Classification (IEEE Transactions on Knowledge and Data Engineering)
  7. Combining classifiers in text categorization
  8. SLIQ: A Fast Scalable Classifier for Data Mining
  9. A Review of Machine Learning Algorithms for Text-Documents Classification
  10. Patient Status Classification by using Rule based Sentence Extraction and BM 25-kNN based Classifier

Their papers